AI Sales Engineer, US
Job description
About the role
Arize AI operates an AI and Agent Engineering observability and evaluation platform. In this role, you act as a trusted advisor to AI and Agent Engineering organizations. You simplify advanced observability concepts and help optimize AI systems. You partner with executives and technical teams to drive proof of concepts from initial discovery through successful close. You translate complex operational challenges into clear value propositions for stakeholders across the organization. You serve as the technical bridge between executive strategy and implementation feasibility. You proactively identify risks in model deployments and frame them as opportunities for platform intervention. You represent the voice of the customer internally to influence product direction and messaging.
Key facts
Location is Remote within the United States. Engagement involves working closely with enterprise customers building AI agents. Compensation details include a base of $180,000 and total of $240,000 for 2024 hires.
What you'll do
Lead discovery sessions to map a client's model stack, deployment patterns, and associated risks. Conduct live product walkthroughs that demonstrate tracing, evaluation, and alerting capabilities within the Arize platform. Architect proof of concepts that validate data quality, model behavior, and evaluation workflows in client environments. Champion best practices for agent monitoring during executive briefings and technical reviews. Translate technical objections into clear engineering requirements to guide product improvements. Collaborate with solutions teams to design scalable evaluation strategies for high volume workloads. Defend implementation timelines by coordinating with engineering and customer success resources. Educate partners on framework compatibility for LangGraph, OpenAI Agents SDK, and DSPy. Navigate complex stakeholder landscapes to align incentives and secure executive sponsorship. Diagnose performance bottlenecks and guide customers toward platform-driven resolutions.
Requirements
Bring three or more years of experience solving problems for technical customers in software or observability environments. Communicate intricate system architectures clearly to both technical and business stakeholders. Program in Python or TypeScript with confidence in production settings. Understand large language model workflows, agents, and application evaluation development lifecycles. Quickly master complex production deployments without direct guidance and form independent viewpoints. Demonstrate comfort with ambiguity while maintaining rigorous analytical thinking. Consistently exercise sound judgment when balancing customer needs against technical constraints. Exhibit ownership for outcomes across the entire sales cycle from discovery to close.
Nice to have
Previous experience aligning Sales, Product, and Engineering toward shared objectives. History in fast scaling organizations navigating rapid change and expansion. Background in Data Engineering, MLOps, Kubernetes, or cloud platforms such as GCP, AWS, or Azure.
Practical notes
Engagement involves working closely with enterprise customers building AI agents. Compensation details include a base of $180,000 and total of $240,000 for 2024 hires.
Skills & tools
Proficiency in Python and TypeScript. Familiarity with LangGraph, OpenAI Agents SDK, DSPy, GenAI, MLOps, and Kubernetes.
About the company
AI is rapidly transforming the world. As generative AI reshapes industries, teams require powerful methods to monitor, troubleshoot, and optimize their AI systems. Arize AI is the leading AI and Agent Engineering observability and evaluation platform. It empowers AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace so teams can ship faster with confidence.
Arize AI is a Series C company backed by top-tier investors. It holds over $135 million in funding and serves a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers such as Booking.com, Uber, Siemens, and PepsiCo use Arize to deliver AI that works.
The engineering team builds systems that interact with some of the most complex software ever deployed in production. It is composed of industry veterans who have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad technology, and more. They are seeking an AI Sales Engineer (Solutions Architect) to join the team and help bring this product to AI and ML organizations.
You will work side by side with account executives to articulate the Arize value proposition and overall strategy. You will help differentiate the platform throughout the sales process and drive proof of concepts from requirements gathering to close. The activities performed are diverse. One day you might assist with a high level pitch to a chief data officer, and the next day you might work hands on to develop a small proof of concept.